Evaluating User Interfaces
Master essential UI evaluation techniques, from heuristic analysis to user testing. Learn practical methods for interface assessment.
Master essential UI evaluation techniques, from heuristic analysis to user testing. Learn practical methods for interface assessment.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full User Interface Design Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(267 ratings)
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Apply heuristic evaluation techniques to identify interface issues
Conduct effective user testing sessions in various settings
Analyze interface actions using GOMS and informal methods
Perform cognitive walkthroughs for interface assessment
Plan and execute usability studies
Measure and evaluate interface usability goals
Skills you'll gain
This course includes:
5.7 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This comprehensive course teaches various techniques for evaluating user interfaces, both with and without user participation. Students learn industry-standard methods including action analysis, cognitive walkthroughs, and heuristic evaluation. The curriculum covers practical aspects of user testing, from lab-based studies to field evaluations. Through hands-on assignments and real usability lab examples, learners gain experience in planning and conducting interface evaluations and analyzing results.
Preface
Module 1 · 15 Minutes to complete
Evaluation without Users (Part 1)
Module 2 · 2 Hours to complete
Evaluation without Users (Part 2)
Module 3 · 4 Hours to complete
Evaluation with Users (Part 1)
Module 4 · 57 Minutes to complete
Evaluation with Users (Part 2)
Module 5 · 1 Hours to complete
Evaluation with Users (Part 3)
Module 6 · 1 Hours to complete
Wrap-Up
Module 7 · 47 Minutes to complete
Fee Structure
Instructors
Human-Computer Interaction Expert and Geographic Computing Specialist
Dr. Brent Hecht serves as Assistant Professor of Computer Science and Engineering at the University of Minnesota, focusing on the intersection of human-computer interaction, geography, and big data. His academic credentials include a Ph.D. in Computer Science from Northwestern University, an MS in Geography from UC Santa Barbara, and dual Bachelor's degrees in Computer Science and Geography from Macalester College. Through his Coursera courses "Evaluating User Interfaces," "Introduction to UI Design," and "User Research and Design," he helps students understand the principles of user interface design and evaluation. His research examines the relationship between big data and cultural factors, particularly focusing on volunteered geographic information and location-aware technologies. His collaborations with major tech companies including Google Research, Xerox PARC, and Microsoft Research demonstrate his influence in the field. His work has earned recognition at premier conferences in human-computer interaction and geography, including ACM CHI and COSIT, while receiving coverage in major media outlets including MIT Technology Review and New Scientist.
Leading Expert in Human-Computer Interaction at the University of Minnesota
Dr. Joseph A. Konstan is a distinguished professor in the Department of Computer Science and Engineering at the University of Minnesota, where he holds the title of Distinguished McKnight University Professor and Distinguished University Teaching Professor. His extensive research focuses on human-computer interaction, particularly in the areas of recommender systems, social computing, and public health applications. Notably, his work on the GroupLens Recommender System earned him the prestigious ACM Software Systems Award in 2010.Dr. Konstan received his A.B. from Harvard University and both his M.S. and Ph.D. from the University of California, Berkeley. He is recognized for his contributions to education through various teaching awards and has delivered numerous webinars and short courses on topics such as recommender systems and ethical issues in social computing. As a Fellow of the ACM, IEEE, and AAAS, he has also served as President of ACM SIGCHI and has chaired several major conferences in the field. His courses on Coursera include "Introduction to Recommender Systems," "Evaluating User Interfaces," and "User Research and Design," aimed at equipping students with essential skills in user experience and system design.
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4.7 course rating
267 ratings
Frequently asked questions
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